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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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, catalysis or surface science. Experience in scientific programming, e.g. using Python, is an advantage. The candidate has obtained excellent grades in his/her Bachelor and Master educations, good
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application for our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a Ph.D. stipend is available within the general study program. The Ph.D. stipend is open for
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to conduct interdisciplinary research at the interface between quantum physics and life sciences. Most importantly, we value intellectual curiosity, creativity, and the drive to do excellent science. What we
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collaborations, strive toward scientific excellence, be highly motivated, ambitious, and hard-working. Good communication skills in written and spoken English are required. The groups are ambitious and strive
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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for sustainable production of food by applying your microengineering and material science skills? Here, we can offer you a unique opportunity to do exactly that in a dynamic research environment. In the SOLARSPOON
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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project named Transforming University Science Education in the New Media Era: Practices, Technologies, and Disciplinary Thinking. About the position as research assistant at CED Centre for Educational